基于色素含量的针叶树种敏感波段提取研究  

Sensitive band range extraction research for coniferous species based on plant pigment content

作　　者：臧卓[1,2] 林辉[1] 杨敏华[2] 

机构地区：[1]中南林业科技大学林业遥感信息工程研究中心,湖南长沙410004 [2]中南大学信息物理工程学院,湖南长沙410083

出　　处：《中南林业科技大学学报》2013年第1期35-40,共6页Journal of Central South University of Forestry & Technology

基　　金：国家自然科学基金资助项目(30871962);国家重大专项项目(E0305/1112/02);"十二五"国家高技术研究发展计划(863计划)课题(2012AA102001):"数字化森林资源监测关键技术研究";林业公益性行业科研专项(201104028):"林分结构与生长模拟技术研究";湖南省高校科技成果产业化培育项目(11CY019)

摘　　要：通过分析马尾松、杉木主要色素和冠层光谱数据的相关关系提取敏感波段,然后利用7种分类算法对所提取波段进行分类,最后对高斯合并后的光谱数据进行分类,用以测试提取波段的可推广性。结果表明:马尾松和杉木的差异主要是受叶绿素的影响,并且2种针叶树种的敏感波段位于401～504 nm和659～686 nm;用于区分2种针叶树种高光谱数据的最佳分类方法为Fisher分类法,最高分类精度达到了100%;模拟成像光谱数据的高斯合并数据抑制了高频噪声,但也过滤掉了2种针叶树种光谱数据的细微差异,分类精度降低,为70%～80%,而叶绿素所提取波段仍然优于其它色素提取的波段,这说明401～504 nm和659～686 nm波段具有可推广和进一步研究的价值。Through analyzing the relation between the spectral reflectance of canopy and the pigment content, the sensitive band ranges of Cunninghamia lanceolata and Pinus massoniana were extracted. Then the data of band ranges selected were classified by seven classification algorithms including Support Vector Machine （SVM）-Radial Basis Function （RBF）, BP neural network, Mahalanobis Distance, Bayes, Fisher, Support Vector Machine （SVM）-Linear, and Spectral Angle Mapping （SAM）. In order to test the dependability and popularization of bands selected, the data after Gauss merge process were classified. The results show that the difference of C. lanceolata and P massoniana was largely influenced by chlorophyll. The sensitive band ranges for two conifers situated at 401~504 nrn and 659-686 nm. By comparing seven methods, Fisher classification method have best performance, their maximum precision of classification were 100%. The data after Gauss merge process that modeled the imaging spectrometer data suppressed the high-frequency noise impact, but the subtle differences of two conifers were filtered out, so the precision of classification came down to 70% - 80%. The performance of chlorophyll could be better than other pigment. It is proved that the band ranges of 401-504 nm and 659-686 nm had good ~eneralizabilitv and further research value.

关 键 词：高光谱 色素含量 波段提取 针叶树种 黄丰桥林场 

分 类 号：S771.8[农业科学—森林工程]